A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives

Author:

Barré Mathieu,Taylor Adrien,Bach Francis

Publisher

Cellule MathDoc/CEDRAM

Subject

General Medicine

Reference38 articles.

1. [1] Alves, Maicon M. Variants of the A-HPE and large-step A-HPE algorithms for strongly convex problems with applications to accelerated high-order tensor methods (2021) (https://arxiv.org/abs/2102.02045v1)

2. Potential-function proofs for gradient methods;Bansal, Nikhil;Theory Comput.,2019

3. [3] Barré, Mathieu; Taylor, Adrien; Bach, Francis Principled Analyses and Design of First-Order Methods with Inexact Proximal Operators (2020) (https://arxiv.org/abs/2006.06041v2)

4. [4] Barré, Mathieu; Taylor, Adrien; Bach, Francis Principled Analyses and Design of First-Order Methods with Inexact Proximal Operators (2021) (https://arxiv.org/abs/2006.06041)

5. A fast iterative shrinkage-thresholding algorithm for linear inverse problems;Beck, Amir;SIAM J. Imaging Sci.,2009

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1. Optimal inexactness schedules for tunable oracle-based methods;Optimization Methods and Software;2024-02-05

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